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SBML Level 3: an extensible format for the exchange and reuse of biological models
Abstract Systems biology has experienced dramatic growth in the number, size, and
complexity of computational models. To reproduce simulation results and reuse models …
complexity of computational models. To reproduce simulation results and reuse models …
Towards reproducible computational drug discovery
The reproducibility of experiments has been a long standing impediment for further scientific
progress. Computational methods have been instrumental in drug discovery efforts owing to …
progress. Computational methods have been instrumental in drug discovery efforts owing to …
[ספר][B] Reproducibility and replicability in science
National Academies of Sciences, Medicine, Policy… - 2019 - books.google.com
One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …
scientific discovery is by repeating the research that produced it. When a scientific effort fails …
Unraveling the molecular mechanism of action of empagliflozin in heart failure with reduced ejection fraction with or without diabetes
The mechanism of action of empagliflozin in heart failure with reduced ejection fraction
(HFrEF) was deciphered using deep learning in silico analyses together with in vivo …
(HFrEF) was deciphered using deep learning in silico analyses together with in vivo …
Mechanisms of action of sacubitril/valsartan on cardiac remodeling: a systems biology approach
Sacubitril/Valsartan, proved superiority over other conventional heart failure management
treatments, but its mechanisms of action remains obscure. In this study, we sought to explore …
treatments, but its mechanisms of action remains obscure. In this study, we sought to explore …
Parameter estimation and uncertainty quantification for systems biology models
Mathematical models can provide quantitative insights into immunoreceptor signaling, and
other biological processes, but require parameterization and uncertainty quantification …
other biological processes, but require parameterization and uncertainty quantification …
Harmonizing semantic annotations for computational models in biology
Life science researchers use computational models to articulate and test hypotheses about
the behavior of biological systems. Semantic annotation is a critical component for …
the behavior of biological systems. Semantic annotation is a critical component for …
Microbiome modeling: a beginner's guide
Microbiomes, comprised of diverse microbial species and viruses, play pivotal roles in
human health, environmental processes, and biotechnological applications and interact with …
human health, environmental processes, and biotechnological applications and interact with …
[HTML][HTML] Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia
Cognitive function is an important end point of treatments in dementia clinical trials.
Measuring cognitive function by standardized tests, however, is biased toward highly …
Measuring cognitive function by standardized tests, however, is biased toward highly …
Tellurium notebooks—an environment for reproducible dynamical modeling in systems biology
The considerable difficulty encountered in reproducing the results of published dynamical
models limits validation, exploration and reuse of this increasingly large biomedical …
models limits validation, exploration and reuse of this increasingly large biomedical …